Research Associate-1 at Philips India Ltd.
I'm a B-Tech in Computer Science & Engineering. I'm presently working as a Research Associate-1 in Women's Health & Ultrasound Research department at Philips, India. I have experience in coding in Python, C, C++, Java. I'm familiar with several machine learning / deep learning libraries such as tensorflow, keras, pytorch, numpy, pandas, sklearn. I have worked on several projects involving Computer Vision, Image Processing, Machine Learning & have done 2 internships during which I worked on Software development in Python / C++, Machine Learning, Time-series analysis & Deep Learning.
My current interests revolve around enhancement of Ultrasound Imaging workflow using Deep Learning algorithms
I'm proficient in following technologies/frameworks
1. Dataset preparation & pre-processing
2. Trained & fine-tuned neural networks
3. Developed a pipeline for auto-labeling the images & saving the annotations in an excel sheet/xml file.
4. Built an offline python prototype that identifies the optimum view for liver fat quantification
5. Developed an application which allows user to compare the performances of several neural network models visually & generate inference report
Company - Philips Innovation Campus
Duration - Aug 2020 to Present
Location - Bangalore, India
1. Worked on volume rendering & visualization
2. Implemented a 3D convolutional neural network for dense semantic segmentation of a fetal heart
3. Worked on placental volume stitching
4. Developed a workflow on Philips's software platform for liver fat quantification
Company - Philips Innovation Campus
Duration - Jan 2020 to Aug 2020
Location - Bangalore, India
1. Worked on data cleaning & pre-processing
2. Predicted consumer eating patterns using time series analysis
3. Compared the performances of several classification algorithms before & after re-sampling for the task of classifying a credit card transaction as fraudulent or non-fraudulent
Company - Maxgen Technologies Pvt. Ltd.
Duration - May 2019 to July 2019
Location - Pune, India
Pursued Bachelor's in Computer Science & Engineering from a renouned Engineering college in India
Minor Specialization - Intelligent Systems
Institute - Manipal Institute of Technology
Location - Manipal, Karnataka, India
Duration - July 2016 to Aug 2020
CGPA - 7.8 (First Class)
Pursued 11th & 12th grade in Science Stream
Institute - Modern College of Arts, Commerce & Science
Location - Pune, India
Duration - May 2014 to May 2016
Percentage - 80.77% (Grade-1 with Distinction)
Studied at Podar International School, Chinchwad affiliated to Central Board of Secondary Education (CBSE)
Institute - Podar International School
Location - Pune, India
Duration - May 2013 to May 2014
CGPA - 10
Brief description of the projects that I worked on
Created a GUI that takes a video depicting a road as an input, segments out the road & detects the road lanes. In real world scenario, a vehicle would capture a video of road through rooftop camera or using sensors, segment out the road & detect road lanes. The vehicle would then navigate within the lanes.
Technologies Used: Python, Image processing, Computer Vision, Deep Learning
Github Link: Automated_Navigation
Found similarity between 2 images using ORB feature detector. The similarity score lies within a range of 0%-100%. Explored if there is any change in similarity score after rotation, change in brightness / contrast.
Technologies Used: Python, Computer Vision
Github Link: Feature_Matching
Created a portal for management of recruitment drive in colleges.
Separate logins have been created for use by students, recruiters and admin. The system can be used for viewing job postings, applying for job, updating applicant profile, posting job details, viewing recruitment decision
Technologies Used: ASP.NET, C#, SQL
Github Link: Placement-Portal
Developed a front-end for restaurant website which displays the menu & provides an option to order online. It has an option to add items in a cart. At the time of checkout, an order summary is displayed.
Technologies Used: HTML, CSS, JavaScript
Github Link: Front-end Restaurant Website
Designed a compiler for JavaScript language which is one of the OOP scripting languages used to add behavior to html pages.
Technologies Used: C, C++, Flex, Javascript, Bison
Github Link: JavaScript Compiler
Created a Gym Management System which can be used by customers, trainers & admin. The application provides options to view customer details, trainer details, courses, dietary requirements & course fees. It provides a platform to monitor all Gym related activities
Technologies Used: Java Spring, SQL
Github Link: Gym-Management
+91-7720039980
mayureshwagh6@gmail.com
https://www.linkedin.com/in/mayuresh-wagh-3a4420182/